AIUC Emerges From Stealth With $15M Seed to Help Enterprises Deploy AI Safely

Artificial Intelligence Underwriting Company (AIUC) is coming out of stealth mode with a $15 million seed round. The San Francisco-based company announced on July 23 that it aims to unlock the next wave of artificial intelligence (AI) progress by building the confidence infrastructure for AI agents—systems that autonomously perform tasks. Enterprises face pressure to deploy AI but hesitate due to uncertainty about which tools to trust and concerns over accountability if things go wrong. AIUC highlights fears around hallucinated responses or unsafe outputs that could cause customer harm, revenue loss, regulatory risk, or reputational damage.

Leadership Team

The company’s executive team includes:

• Rune Kvist, co-founder and CEO, formerly the first product and go-to-market hire at Anthropic and a board member of the Center for AI Safety.
• Brandon Wang, co-founder and CTO, previously founded a consumer underwriting business.
• Rajiv Dattani, co-founder, former McKinsey partner specializing in the global insurance sector, and former COO of METR, a research nonprofit that evaluated OpenAI and Anthropic’s models before deployment.

Vision and Approach

“This is the path forward for faster, more secure AI adoption,” said Kvist. “Every major technological leap in history—from electricity and automobiles to flight and the internet—was unlocked by private market insurance. That is what we’re building for this major leap: confidence infrastructure that rewards responsibility, unlocks speed, and enables enterprises to make informed decisions.” AIUC’s approach is structured around three pillars:

Standards

• AIUC-1 is a security and risk framework built specifically for AI agents, described as “SOC-2 for AI agents.”
• It is designed to accelerate enterprise adoption by addressing key technical, legal, and operational safeguards.
• AIUC-1 builds on trusted frameworks like NIST’s AI Risk Management Framework, the EU AI Act, and MITRE’s ATLAS, while defining clear, auditable requirements.
• AI companies can be certified against AIUC-1, providing enterprises a concrete signal of safety and trust.

Audits

• Independent audits of AI agents provide enterprises confidence to adopt these systems.
• AIUC conducts rigorous testing against the AIUC-1 standard to identify vulnerabilities, quantify risk, and offer a clear evaluation before deployment.
• The audit process is objective, repeatable, and aligned with enterprise-grade expectations for safety and trust.

Insurance

• AIUC offers liability coverage for AI vendors and their customers in case an AI agent fails.
• Insurance cost and availability are directly linked to audit results: safer systems receive better terms.
• This alignment of incentives among builders, buyers, and insurers facilitates confident adoption of new AI technologies.

Funding and Investors

The $15 million seed round was led by Nat Friedman at NFDG, with participation from Emergence, Terrain, and others including Ben Mann, co-founder of Anthropic. Former chief information security officers from Google Cloud and MongoDB are also investors. Originally published at Insurance Journal on July 25, 2025.

FAQ

What is AIUC's primary objective?

The main objective of AIUC is to create a confidence infrastructure for AI agents, allowing enterprises to deploy AI safely and efficiently by building trust in these systems.

Who are the key figures behind AIUC?

AIUC is led by co-founders including Rune Kvist (CEO), Brandon Wang (CTO), and Rajiv Dattani. Each has a significant background in technology, finance, and AI safety.

How does AIUC assure safety in AI deployment?

AIUC uses a framework known as AIUC-1 to certify AI systems, conducts audits against safety standards, and provides liability coverage to encourage secure AI adoption.

Crypto Market's Take

As AIUC introduces processes like AI audits and standards, it aligns closely with our services found at AI Agents. We also emphasize the importance of compliance and security in digital finance, resonating with the AI Personal Finance Hub.

More to Read:

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• Anthropic Adopts AI Agents for Model Audits
• Walmart's AI Super Agents Strategy